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A Dual Perspective Towards Building Resilience In Manufacturing Organizations, Steven A. Fazio 2021 Mississippi State University

A Dual Perspective Towards Building Resilience In Manufacturing Organizations, Steven A. Fazio

Theses and Dissertations

Modern manufacturing organizations exist in the most complex and competitive environment the world has ever known. This environment consists of demanding customers, enabling, but resource intensive Industry 4.0 technology, dynamic regulations, geopolitical perturbations, and innovative, ever-expanding global competition. Successful manufacturing organizations must excel in this environment while facing emergent disruptions generated as biproducts of complex man-made and natural systems. The research presented in this thesis provides a novel two-sided approach to the creation of resilience in the modern manufacturing organization. First, the systems engineering method is demonstrated as the qualitative framework for building literature-derived organizational resilience factors into organizational structures …


The Development Of Authentic Virtual Reality Scenarios To Measure Individuals’ Level Of Systems Thinking Skills And Learning Abilities, Vidanelage L. Dayarathna 2021 Mississippi State University

The Development Of Authentic Virtual Reality Scenarios To Measure Individuals’ Level Of Systems Thinking Skills And Learning Abilities, Vidanelage L. Dayarathna

Theses and Dissertations

This dissertation develops virtual reality modules to capture individuals’ learning abilities and systems thinking skills in dynamic environments. In the first chapter, an immersive queuing theory teaching module is developed using virtual reality technology. The objective of the study is to present systems engineering concepts in a more sophisticated environment and measure students learning abilities. Furthermore, the study explores the performance gaps between male and female students in manufacturing systems concepts. To investigate the gender biases toward the performance of developed VR module, three efficacy measures (simulation sickness questionnaire, systems usability scale, and presence questionnaire) and two effectiveness measures (NASA …


Effects Of The Inclusion Of Rice Hull Derived Bio-Oil On Wood Pellet Production, Tyler E. Lowe 2021 Mississippi State University

Effects Of The Inclusion Of Rice Hull Derived Bio-Oil On Wood Pellet Production, Tyler E. Lowe

Theses and Dissertations

Wood pellet production has become an advancing industry for the sake of reducing greenhouse emissions into the atmosphere especially, in European Union countries. Researchers and industry executives seek new methods and materials to improve the pelletization process. Rice hulls or husks has the potential to aid in wood pelletization as they possess high calorific values. This study focuses on using rice hull derived bio-oil from pyrolysis, which will also decrease ash content, as an additive to aid in the wood pelletization process. Using two groups of rice hull derived bio-oil as an additive in wood pelletization: Group 1 uses heavy …


Deep Multi-Modal U-Net Fusion Methodology Of Infrared And Ultrasonic Images For Porosity Detection In Additive Manufacturing, Christian E. Zamiela 2021 Mississippi State University

Deep Multi-Modal U-Net Fusion Methodology Of Infrared And Ultrasonic Images For Porosity Detection In Additive Manufacturing, Christian E. Zamiela

Theses and Dissertations

We developed a deep fusion methodology of non-destructive (NDT) in-situ infrared and ex- situ ultrasonic images for localization of porosity detection without compromising the integrity of printed components that aims to improve the Laser-based additive manufacturing (LBAM) process. A core challenge with LBAM is that lack of fusion between successive layers of printed metal can lead to porosity and abnormalities in the printed component. We developed a sensor fusion U-Net methodology that fills the gap in fusing in-situ thermal images with ex-situ ultrasonic images by employing a U-Net Convolutional Neural Network (CNN) for feature extraction and two-dimensional object localization. We …


Leveraging Choice Modeling Technique For Enhancing The Cyber Resilience Of The Smart Grid, Kesava Karishma Devi Dadi 2021 Mississippi State University

Leveraging Choice Modeling Technique For Enhancing The Cyber Resilience Of The Smart Grid, Kesava Karishma Devi Dadi

Theses and Dissertations

This research focuses on the cyber-attack of the smart grid and its retrieval to a normal state by estimating the smart grid's resilience. This study developed a theoretical model to estimate the resilience of the smart grid using choice modeling. A utility function is formulated based on various factors and sub-factors of resilience to estimate the resilience of the smart grid. Choice modeling is applied to estimate the model parameters in various fields such as marketing, energy, transportation, and health and to predict the outcome.


Testing Of Methods For Reducing Motivational Bias In Multi - Criteria Decision Analysis Problems, Chadwick Samuel Kerr 2021 Mississippi State University

Testing Of Methods For Reducing Motivational Bias In Multi - Criteria Decision Analysis Problems, Chadwick Samuel Kerr

Theses and Dissertations

The idea of multi-criteria decision making has been around for quite a while. All judgement tasks are potential points of bias introduction. Each judgement task was assessed to identify common biases introduced through an extensive literature review for each task and bias. In several other studies, the distinction is made between cognitive and motivational biases. Cognitive biases are widely studied and well known with mitigations that have been validated. Motivational biases are judgements influenced by the decision maker’s desire for a specific outcome, also referred to as intentional bias, that are hard to correct and received very little testing and …


Quantitative Characterization Of Complex Systems—An Information Theoretic Approach, Aditya Akundi, Eric Smith 2021 The University of Texas Rio Grande Valley

Quantitative Characterization Of Complex Systems—An Information Theoretic Approach, Aditya Akundi, Eric Smith

Manufacturing & Industrial Engineering Faculty Publications

A significant increase in System-of-Systems (SoS) is currently observed in the social and technical domains. As a result of the increasing number of constituent system components, Systems of Systems are becoming larger and more complex. Recent research efforts have highlighted the importance of identifying innovative statistical and theoretical approaches for analyzing complex systems to better understand how they work. This paper portrays the use of an agnostic twostage examination structure for complex systems aimed towards developing an information theorybased approach to analyze complex technical and socio-technical systems. Towards the goal of characterizing system complexity with information entropy, work was carried …


Process Improvement Of Honeysuckle Biscuits And Bakery, Jevon Franklin, Kaela Bellamy, Manuel Quintal, Suheyl Polat 2021 Kennesaw State University

Process Improvement Of Honeysuckle Biscuits And Bakery, Jevon Franklin, Kaela Bellamy, Manuel Quintal, Suheyl Polat

Senior Design Project For Engineers

Honeysuckle Biscuits and Bakery is a locally owned restaurant in Downtown Kennesaw, Georgia. Mitch and Lori Phillips, the owners, opened the restaurant in 2018. The restaurant serves breakfast (with biscuits as its specialty), lunch, coffee, desserts, and specialty cakes. As the business is beginning to outgrow itself, the project manager, Kaela Bellamy, felt it was a need to look at how to best accommodate the growing demand within the new space.


Intelligent Computer System For Enhancing Value Engineering Implementation In The Egyptian Construction Industry, Hazem M. El-Senoussi 2021 The American University in Cairo AUC

Intelligent Computer System For Enhancing Value Engineering Implementation In The Egyptian Construction Industry, Hazem M. El-Senoussi

Archived Theses and Dissertations

No abstract provided.


Genetic Algorithm For Production Scheduling, Mary El-Mallakh 2021 The American University in Cairo AUC

Genetic Algorithm For Production Scheduling, Mary El-Mallakh

Archived Theses and Dissertations

No abstract provided.


Workflow Optimization Of World Micro, Inc. Quality Department, Nicholas Ricci, Rosa Lopez Gomez, Darius Ruffin, Josh Fennell 2021 Kennesaw State University

Workflow Optimization Of World Micro, Inc. Quality Department, Nicholas Ricci, Rosa Lopez Gomez, Darius Ruffin, Josh Fennell

Senior Design Project For Engineers

Our group member Nick is currently an intern at World Micro, which is an electronic components distributor for companies manufacturing a variety of commercial, aerospace and military products. When electrical components are purchased from the open market, they need to be traced back to the OEM (Original Equipment Manufacturer) or have a series of tests performed to verify that the parts are authentic and work. The current process time for World Micro’s quality testing and inspection is not efficient causing long lead times, extra work hours, and extra expenses in outsourcing services.


Statistical Modeling, Learning And Computing For Stochastic Dynamics Of Complex Systems, Mohammadmahdi Hajiha 2021 University of Arkansas, Fayetteville

Statistical Modeling, Learning And Computing For Stochastic Dynamics Of Complex Systems, Mohammadmahdi Hajiha

Graduate Theses and Dissertations

With the recent advances in sensor technology, it is much easier to collect and store streams of system operational and environmental (SOE) data. These data can be used as input to model the underlying behavior of complex engineered systems and phenomenons if appropriate algorithms with well-defined assumptions are developed. This dissertation is comprised of the research work to show the applicability of SOE data when fed into proposed tailored algorithms. The first purposes of these algorithms are to estimate and analyze the reliability of a system as elaborated in Chapter 2. This chapter provides the derivation of closed-form expressions that …


Design For Older Adults – Functional Limitations And Human Factors Engineering, Megumi Sato Hice 2021 University of Texas at Arlington

Design For Older Adults – Functional Limitations And Human Factors Engineering, Megumi Sato Hice

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Background: Throughout the aging process, people experience changes in functional ability and such changes can happen in physical and mental functions. As a result, older adults develop limitations in their capabilities to perform daily activities. Although many studies have done to identify functional limitations for elderly, many older adults still face negative consequences in daily living conditions due to their functional declines. One of the possible causes may be a lack of feedback or participations of elderly users in the design process. Other reason could be a lack of consideration to identify the needs for a specific task associated with …


One Step At A Time: Improving The Fidelity Of Geospatial Agent-Based Models Using Empirical Data, Amy A. Marusak 2021 University of Texas at Arlington

One Step At A Time: Improving The Fidelity Of Geospatial Agent-Based Models Using Empirical Data, Amy A. Marusak

Industrial, Manufacturing, and Systems Theses - Archive

Agent-based modeling is frequently used to produce geospatial models of transportation systems. However, reducing the computational requirements of these models can require a degree of abstraction that can compromise the fidelity of the modeled environment. The purpose of the agent-based model presented in this thesis is to explore the potential of a volunteer-based crowd-shipping system for rescuing surplus meals from restaurants and delivering them to homeless shelters in Arlington, Texas. Each iteration of the model’s development has sought to improve model realism by incorporating empirical data to strengthen underlying assumptions. This thesis describes the most recent iteration, in which a …


Drone Location And Scheduling Problems In Humanitarian Logistics., Zabih Ghelichi 2021 University of Louisville

Drone Location And Scheduling Problems In Humanitarian Logistics., Zabih Ghelichi

Electronic Theses and Dissertations

Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, are a promising technology for the last-mile delivery of medical and aid items in humanitarian logistics. In emergency scenarios, like disasters, where transportation networks are destroyed and people are stranded, drones can accelerate the delivery of urgently needed items, e.g., food and water, insulin shots and blood pressure pills, to those trapped in the disaster-affected areas. Drones can also provide logistics services in many non-emergency situations by delivering medical items, e.g., vaccine shots and lab specimens, to remote communities and hard-to-access locations. The contribution of using UAVs goes beyond merely having …


Framework Of Big Data Analytics In Real Time For Healthcare Enterprise Performance Measurements, Ahmed Mohamed 2021 University of Central Florida

Framework Of Big Data Analytics In Real Time For Healthcare Enterprise Performance Measurements, Ahmed Mohamed

Electronic Theses and Dissertations, 2020-2023

Healthcare organizations (HCOs) currently have many information records about their patients. Yet, they cannot make proper, faster, and more thoughtful conclusions in many cases with their information. Much of the information is structured data such as medical records, historical data, and non-clinical information. This data is stored in a central repository called the Data Warehouse (DW). DW provides querying and reporting to different groups within the healthcare organization to support their future strategic initiatives. The generated reports create metrics to measure the organization's performance for post-action plans, not for real-time decisions. Additionally, healthcare organizations seek to benefit from the semi-structured …


Understanding The Behavior Of The Covid-19 Pandemic Using Data Analytics, Mohammad Reza Davahli 2021 University of Central Florida

Understanding The Behavior Of The Covid-19 Pandemic Using Data Analytics, Mohammad Reza Davahli

Electronic Theses and Dissertations, 2020-2023

In December 2019, China announced the breakout of a new virus identified as coronavirus SARS-CoV-2 (COVID-19), which soon grew exponentially and became a global pandemic. Despite strict actions to mitigate the spread of the virus in various countries, the COVID-19 pandemic resulted in a significant loss of human life in 2020 and 2021. To better understand the pandemic, this doctoral research incorporated data analytics to evaluate the behavior and impacts of the virus. The doctoral research contributed to the scientific body of the knowledge in different ways including (1) presenting a systematic literature review of current research and topics about …


Constraint Optimal Selection Techniques (Costs) For A Class Of Linear Programming Problems, Tai-Kuan Sung 2021 University of Texas at Arlington

Constraint Optimal Selection Techniques (Costs) For A Class Of Linear Programming Problems, Tai-Kuan Sung

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

This dissertation describes two classes of Constraint Optimal Selection Techniques (COSTs). An algorithm of each type is developed for solving nonnegative linear programming problems. In addition, geometric interpretations of these new algorithms are given, computational results for some large-scale problems are provided, and directions for future research are discussed.


Compact In-Rack Dielectric Immersion Cooling System, Salvador Landeros JR, Joshua M. Hannaman, Marshall D. Reid 2021 California Polytechnic State University, San Luis Obispo

Compact In-Rack Dielectric Immersion Cooling System, Salvador Landeros Jr, Joshua M. Hannaman, Marshall D. Reid

Mechanical Engineering

The Compact Dielectric Cooling team consisting of Josh Hannaman, Marshall Reid, and Salvador Landeros worked with Aria Technologies to create a thermal management system for data centers that can easily implement liquid cooling into current infrastructure for high density computing servers. The project was to design, build, and test a compact immersion cooling system for a senior project at California Polytechnic State University – San Luis Obispo. Immersion cooling is a liquid-cooling process that involves the immersion of electrical IT equipment and the removal of heat from the hot IT components using dielectric liquid. The goal was to build a …


Development And Application Of A Digital Twin For Chiller Plant Performance Assessment, Mihir Kale 2021 Clemson University

Development And Application Of A Digital Twin For Chiller Plant Performance Assessment, Mihir Kale

All Theses

As the complexity of industrial equipment continues to increase, the management of the individual machines and integrated operations becomes difficult without computer tools. The availability of streaming data from manufacturing floors, plant operations, and deployed fleets can be overwhelming to analyze, although it provides opportunities to improve performance. The use of dedicated monitoring systems in the plant and field to troubleshoot machinery can be integrated within a product lifecycle management (PLM) architecture to offer greater features. PLM offers virtual processes and software tools for the design, analysis, monitoring, and support of engineering systems and products. Within this paradigm, a digital …


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